Python sqlite_to_kill_matrix Examples

Example #1

File: champion_relation.py Project: 0ldm0s/lola

def similar_killer(champion_name):
    kill_matrix_adjacency = champion_matrix.sqlite_to_kill_matrix('picks').T # norm by picks; edge from column to row
    bibli_kill_matrix = kill_matrix_adjacency.T * kill_matrix_adjacency # bibliography kill matrix, bibli_kill
    temp_bibli_kill_ten = pd.DataFrame(bibli_kill_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]

    plt_bibli_kill = temp_bibli_kill_ten.plot(kind='barh', title=champion_name + ' is similar with(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
    plt_bibli_kill.savefig(champion_name + '_similar_killer.png')

Example #2

def similar_killer(champion_name):
    kill_matrix_adjacency = lola.sqlite_to_kill_matrix('picks').T # norm by picks; edge from column to row
    bibli_kill_matrix = kill_matrix_adjacency.T * kill_matrix_adjacency # bibliography kill matrix, bibli_kill
    temp_bibli_kill_ten = pd.DataFrame(bibli_kill_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]

    plt_bibli_kill = temp_bibli_kill_ten.plot(kind='barh', title=champion_name + ' is similar with(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
    plt_bibli_kill.savefig(champion_name + '_similar_killer.png')

Example #3

File: champion_relation.py Project: Ice-shroom/lola

def similar_champions(champion_name):
	kill_matrix = champion_matrix.sqlite_to_kill_matrix('picks') # norm by picks
	kill_matrix_T = kill_matrix.T
	coci_kill_matrix = kill_matrix * kill_matrix_T # coci_kill
	temp_coci_kill_ten = pd.DataFrame(coci_kill_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]

	plt_coci_kill = temp_coci_kill_ten.plot(kind='barh', title=champion_name + ' is similar with(TOP 10)', stacked=False).set_xlabel('Proportion').get_figure()
	plt_coci_kill.savefig(champion_name + '_similar.png')

Example #4

File: champion_relation.py Project: 0ldm0s/lola

def counter(champion_name):
    kill_matrix = champion_matrix.sqlite_to_kill_matrix('picks') # norm by picks
    temp_series = pd.DataFrame(kill_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]#, ascending=False
    plttt = temp_series.plot(kind='barh', title='Top 10 choices to counter ' + champion_name, stacked=False).set_xlabel('Proportion').get_figure()
    plttt.savefig(champion_name +'_counter.png')

Example #5

def counter(champion_name):
    kill_matrix = lola.sqlite_to_kill_matrix('picks') # norm by picks
    temp_series = pd.DataFrame(kill_matrix.ix[champion_name]).sort(champion_name,ascending=False).iloc[0:10]#, ascending=False
    plttt = temp_series.plot(kind='barh', title='Top 10 choices to counter ' + champion_name, stacked=False).set_xlabel('Proportion').get_figure()
    plttt.savefig(champion_name +'_counter.png')